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An information-based neural approach to constraint satisfaction

Jönsson, Henrik LU and Söderberg, Bo LU (2001) In Neural Computation 13(8). p.1827-1838
Abstract

A novel artificial neural network approach to constraint satisfaction problems is presented. Based on information-theoretical considerations, it differs from a conventional mean-field approach in the form of the resulting free energy. The method, implemented as an annealing algorithm, is numerically explored on a testbed of K-SAT problems. The performance shows a dramatic improvement over that of a conventional mean-field approach and is comparable to that of a state-of-the-art dedicated heuristic (GSAT+walk). The real strength of the method, however, lies in its generality. With minor modifications, it is applicable to arbitrary types of discrete constraint satisfaction problems.

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author
publishing date
type
Contribution to journal
publication status
published
in
Neural Computation
volume
13
issue
8
pages
12 pages
publisher
MIT Press
external identifiers
  • Scopus:0035434198
ISSN
0899-7667
DOI
10.1162/08997660152469369
language
English
LU publication?
no
id
a6809e4a-0f9a-4fc4-9331-d056dbb65e96
date added to LUP
2016-10-03 19:09:03
date last changed
2016-10-10 09:12:27
@misc{a6809e4a-0f9a-4fc4-9331-d056dbb65e96,
  abstract     = {<p>A novel artificial neural network approach to constraint satisfaction problems is presented. Based on information-theoretical considerations, it differs from a conventional mean-field approach in the form of the resulting free energy. The method, implemented as an annealing algorithm, is numerically explored on a testbed of K-SAT problems. The performance shows a dramatic improvement over that of a conventional mean-field approach and is comparable to that of a state-of-the-art dedicated heuristic (GSAT+walk). The real strength of the method, however, lies in its generality. With minor modifications, it is applicable to arbitrary types of discrete constraint satisfaction problems.</p>},
  author       = {Jönsson, Henrik and Söderberg, Bo},
  issn         = {0899-7667},
  language     = {eng},
  number       = {8},
  pages        = {1827--1838},
  publisher    = {ARRAY(0x93c8790)},
  series       = {Neural Computation},
  title        = {An information-based neural approach to constraint satisfaction},
  url          = {http://dx.doi.org/10.1162/08997660152469369},
  volume       = {13},
  year         = {2001},
}